[1]彭 剑,彭 健,李凯尚.基于多截面试样对316L不锈钢高温蠕变特征研究[J].常州大学学报(自然科学版),2019,31(05):63-69,86.[doi:10.3969/j.issn.2095-0411.2019.05.010]
 PENG Jian,PENG Jian,LI Kaishang.Creep Characteristics of 316L Stainless Steel at Elevated Temperature Based on Multi-Section Specimen[J].Journal of Changzhou University(Natural Science Edition),2019,31(05):63-69,86.[doi:10.3969/j.issn.2095-0411.2019.05.010]
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基于多截面试样对316L不锈钢高温蠕变特征研究()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
第31卷
期数:
2019年05期
页码:
63-69,86
栏目:
机械制造及其自动化
出版日期:
2019-09-28

文章信息/Info

Title:
Creep Characteristics of 316L Stainless Steel at Elevated Temperature Based on Multi-Section Specimen
文章编号:
2095-0411(2019)05-0063-07
作者:
彭 剑12彭 健1李凯尚1
(1. 常州大学 机械工程学院,江苏 常州 213164; 2. 江苏省绿色过程装备重点实验室(常州大学),江苏 常州 213164)
Author(s):
PENG Jian12 PENG Jian1 LI Kaishang1
(1. School of Mechanical Engineering, Changzhou University, Changzhou 213164, China; 2. Jiangsu Key Laboratory of Green Process Equipment, Changzhou University, Changzhou 213164, China)
关键词:
316L奥氏体不锈钢 多截面试样 蠕变 反向有限元
Keywords:
316L austenitic stainless steel multi-section specimen creep inverse finite element method
分类号:
TG 115.5
DOI:
10.3969/j.issn.2095-0411.2019.05.010
文献标志码:
A
摘要:
通过多截面试样蠕变实验方法对316L奥氏体不锈钢600 ℃蠕变行为进行研究,并基于多截面蠕变实验结果,结合复合时间硬化蠕变本构模型、反向有限元方法以及神经网络方法,建立了316L奥氏体不锈钢蠕变本构模型。该蠕变本构模型预测的蠕变曲线与标准蠕变实验方法得到的蠕变曲线吻合。多截面蠕变实验方法能够通过单根多截面蠕变实验获得多载荷下的蠕变实验结果,从而提高蠕变实验效率。
Abstract:
The creep behavior of 316L austenitic stainless steel at 600 ℃ was studied by multi-section creep test. Based on the experimental results, the creep constitutive model of 316L austenitic stainless steel was established by considering the combined time hardening creep constitutive model, the inverse finite element method and the neural network method. The creep curves predicted by the creep constitutive model agree with the ones obtained from the standard creep test method. Therefore, the multi-section creep test can obtain the creep results under multiple loads through a single specimen and get higher creep experimental efficiency.

参考文献/References:

[1]涂善东. 高温结构完整性原理[M]. 北京: 科学出版社, 2003.
[2]王宁, 刘洪起, 涂善东. 考虑高温蠕变损伤的2.25Cr1Mo钢的弹塑性本构模型[J]. 压力容器, 2014, 31(1):1-9, 14.
[3]杨忠慧, 李新军, 万敏, 等. 7055铝合金蠕变试验及本构模型建立[J]. 塑性工程学报, 2013, 20(6):89-93.
[4]CHAKRABARTY J. A theory of stretch forming over hemispherical punch heads[J]. International Journal of Mechanical Sciences, 1970, 12(4):315-325.
[5]YANG Z, WANG Z W. Relationship between strain and central deflection in small punch creep specimens[J]. International Journal of Pressure Vessels and Piping, 2003, 80(6):397-404.
[6]孟龙晖, 杨吟飞, 何宁. 纳米压痕法测量Ti6Al4V钛合金室温蠕变应力指数[J]. 稀有金属材料与工程, 2016, 45(3): 617-622.
[7]罗雷, 赵西成, 刘晓燕, 等. 纳米压痕法测量超细晶工业纯钛室温蠕变速率敏感指数[J]. 稀有金属材料与工程, 2017, 46(5): 1365-1369.
[8]姬峰, 薛松柏, 刘霜, 等. 纳米压痕法测量锌铝钎料的室温蠕变应力指数[J]. 焊接学报, 2013, 34(2): 75-78, 117.
[9]PENG J, ZHOU C Y, DAI Q, et al. The temperature and stress dependent primary creep of CP-Ti at low and intermediate temperature[J]. Materials Science and Engineering: A, 2014, 611: 123-135.
[10]HADID M, GUERIRA B, BAHRI M, et al. Assessment of the stepped isostress method in the prediction of long term creep of thermoplastics[J]. Polymer Testing, 2014, 34: 113-119.
[11]钟万里. 一种变应力金属高温时效老化测试方法: 201110235484.4[P]. 2011-02-22.
[12]秦炎锋, 冯相赛, 关凯书. 小冲杆法确定蠕变Norton参数[J]. 华东理工大学学报(自然科学版), 2015, 41(4): 569-574.
[13]冯相赛. 由单个小冲杆蠕变曲线求解材料蠕变性能参数的方法[D]. 上海: 华东理工大学, 2015.
[14]WU S W, ZHOU X G, CAO G M, et al. The improvement on constitutive modeling of Nb-Ti micro alloyed steel by using intelligent algorithms[J]. Materials & Design, 2017, 116(15): 676-685.
[15]RAZAVI S A, ASHRAFIZADEH F, FOOLADI S. Prediction of age hardening parameters for 17-4PH stainless steel by artificial neural network and genetic algorithm[J]. Materials Science and Engineering: A, 2016, 675(15): 147-152.
[16]王迎娜, 梁志芳, 李午申. X70管线钢环焊接头CTOD断裂韧性的神经网络[J]. 压力容器, 2007, 24(6): 6-9, 16.
[17]曾卫东, 舒滢, 周义刚. 应用人工神经网络模型预测Ti-10V-2Fe-3Al合金的力学性能[J]. 稀有金属材料与工程, 2004, 33(10): 1041-1044.
[18]黄志斌, 万敏, 伍惠, 等. TC4钛合金神经网络本构模型及在有限元模拟中应用[J]. 塑性工程学报, 2013, 20(1): 89-94.

备注/Memo

备注/Memo:
收稿日期:2018-11-07。
基金项目:国家自然科学基金资助项目(51505041); 江苏省高校自然科学基金项目(16KJB460002)。
作者简介:彭剑(1987—),男,江苏常熟人,博士,讲师。E-mail: joepengjian@163.com
更新日期/Last Update: 2019-09-30